Multi-objective optimization of membrane structures based on Pareto Genetic Algorithm

A multi-objective optimization method based on Pareto Genetic Algorithm is presented for shape design of membrane structures from a structural view point.Several non-dimensional variables are defined as optimization variables,which are decision factors of shapes of membrane structures.Three objectives are proposed including maximization of stiffness,maximum uniformity of stress and minimum reaction under external loads.Pareto Multi-objective Genetic Algorithm is introduced to solve the Pareto solutions.Consequently,the dependence of the optimality upon the optimization variables is derived to provide guidelines on how to determine design parameters.Moreover,several examples illustrate the proposed methods and applications.The study shows that the multi-objective optimization method in this paper is feasible and efficient for membrane structures;the research on Pareto solutions can provide explicit and useful guidelines for shape design of membrane structures.     

CT-LOP液相氧化还原脱硫工艺核心反应器热量衡算方法探析

利用化工数据手册中收录的物性数据,采用常用的化工计算公式,根据质量守恒定律和能量守恒定律,形成了一种可对CT-LOP液相氧化还原工艺核心反应器进行热量衡算的计算方法。将计算结果与现有天然气净化装置的设计参数进行对比,数据吻合度较好。该方法可为新建CT-LOP液相氧化还原工业装置的设计提供技术支撑。